基于压裂返排数据的有效破裂体积计算方法
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摘要
压裂裂缝破裂体积是评价压裂效果的一个重要参数,常用的微地震裂缝监测无法区分有效和无效破裂的微地震点,解析模型对复杂裂缝不适用,且这些方法评估的破裂体积与压裂产能相关性低。为此,利用压裂返排初期的动态数据,建立了有效破裂体积的计算模型,通过对压裂井返排初期的动态数据变换,找出拟稳定流动阶段并拟合出线性关系,确定返排阶段的物质平衡时间段,结合压裂裂缝的综合压缩系数,确定有效的破裂体积。利用该模型计算了10口直井与水平的有效破裂体积,计算结果表明,有效破裂体积越大,压裂产能越高,两者相关性在0.9以上,所建立的方法可以准确地评价有效破裂体积并进行压裂产能预测。
Fracture volume of fracturing fractures is an important parameter for evaluating fracturing effect.The commonly used micro-seismic fracture monitoring cannot distinguish effective and invalid fracture micro-seismic points, and the analytical model is not applicable to complex fractures, and the fracture volume evaluated by these methods has a low correlation with fracturing productivity. Therefore, the effective fracture volume calculation model is established by using the dynamic data at the initial stage of fracture backflow. By transforming the dynamic data of the initial flowback stage of fracturing wells, the quasi-stable flow stage was found out and the linear relationship was fitted. The material balance time period of the flowback stage was determined. Combined with the comprehensive compressibility of fracturing fractures, an effective fracture volume calculation model was established. The effective fracture volume of 10 vertical wells and horizontal wells was calculated by this model. The calculation results show that the effective fracture volume is positively correlated with the fracturing productivity, and the correlation is above 0.9, The established method can accurately evaluate the effective fracture volume and predict the fracturing productivity. The parameters required by this method are easy to obtain and accurate to evaluate, which can be used as a new method for effective fracture volume evaluation of fracturing wells.
Fracture volume of fracturing fractures is an important parameter for evaluating fracturing effect.The commonly used micro-seismic fracture monitoring cannot distinguish effective and invalid fracture micro-seismic points, and the analytical model is not applicable to complex fractures, and the fracture volume evaluated by these methods has a low correlation with fracturing productivity. Therefore, the effective fracture volume calculation model is established by using the dynamic data at the initial stage of fracture backflow. By transforming the dynamic data of the initial flowback stage of fracturing wells, the quasi-stable flow stage was found out and the linear relationship was fitted. The material balance time period of the flowback stage was determined. Combined with the comprehensive compressibility of fracturing fractures, an effective fracture volume calculation model was established. The effective fracture volume of 10 vertical wells and horizontal wells was calculated by this model. The calculation results show that the effective fracture volume is positively correlated with the fracturing productivity, and the correlation is above 0.9, The established method can accurately evaluate the effective fracture volume and predict the fracturing productivity. The parameters required by this method are easy to obtain and accurate to evaluate, which can be used as a new method for effective fracture volume evaluation of fracturing wells.
引文
[1]翁定为,付海峰,卢拥军,等.储层改造体积预测模型的研究与应用[J].石油钻探技术,2016,44(1):95-100.
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[7]吴奇,胥云,张守良,等.非常规油气藏体积改造技术核心理论与优化设计关键[J].石油学报,2014,35(4):706-714.
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[12]王磊,杨世刚,刘宏,等.微破裂向量扫描技术在压裂监测中的应用[J].石油物探,2012,51(6):613-619.
[13]CRAFTON J W,GUNDERSON D W.Use of extremely high time-resolution production data to characterize hydraulic fracture properties[J].SPE-49223-MS,2006.
[14]EZULIKE D O,DEHGHANPOUR H,HAWKES RV.Understanding flowback as a transient 2 phase displacement process:An extension of the linear dual porosity model[J].SPE-167164-MS,2013.
[15]AGUILERA R.Recovery factors and reserves in naturally fractured reservoirs[J].Journal of Canadian Petroleum Technology.1999,38(7):15-18.
[2]WARPINSKI N R,MAYERHOFER M J,AGARWAL K,et al.Hydraulic fracture geomechanics and micro-seismic source mechanisms[J].SPE 158935,2012.
[3]ZOBACK M D,KOHLI A,DAS I,et al.The importance of slow slip on faults during hydraulic fracturing stimulation of shale gas reservoirs[J].SPE 155476,2012.
[4]翁定为,付海峰,梁宏波.水力压裂设计的新模型和新方法[J].天然气工业,2016,36(3):49-54.
[5]YU G,AGUILERA R.3D analytical modeling of hydraulic fracturing in stimulated reservoir volume[J].SPE 153486,2012.
[6]吴奇,胥云,王晓泉,等.非常规油气藏体积改造技术——内涵、优化设计与实现[J].石油勘探与开发,2012,39(3):352-358.
[7]吴奇,胥云,张守良,等.非常规油气藏体积改造技术核心理论与优化设计关键[J].石油学报,2014,35(4):706-714.
[8]ALKOUH A,MCKETTA S,WATTENBARGER R A.Estimation of effective-fracture volume using waterflowback and production data for shale-gas wells[J].Journal of Canadian Petroleum Technology,2014,53(5):290-303.
[9]李新勇.裂缝监测技术在塔河油田的应用[J].石油钻采工艺,2006,28(2):75-77.
[10]赵争光,秦月霜,杨瑞召.地面微地震监测致密砂岩储层水力裂缝[J].地球物理学进展,2014,29(5):2 136-2 139.
[11]沈琛,梁北援,李宗田.微破裂向量扫描技术原理[J].石油学报,2009,30(5):744-748.
[12]王磊,杨世刚,刘宏,等.微破裂向量扫描技术在压裂监测中的应用[J].石油物探,2012,51(6):613-619.
[13]CRAFTON J W,GUNDERSON D W.Use of extremely high time-resolution production data to characterize hydraulic fracture properties[J].SPE-49223-MS,2006.
[14]EZULIKE D O,DEHGHANPOUR H,HAWKES RV.Understanding flowback as a transient 2 phase displacement process:An extension of the linear dual porosity model[J].SPE-167164-MS,2013.
[15]AGUILERA R.Recovery factors and reserves in naturally fractured reservoirs[J].Journal of Canadian Petroleum Technology.1999,38(7):15-18.